9806f3e1ff
autosquash github workflow didn't work out, removing
4 years ago
b496b7bde9
Re-ran batch validation on all models across all sets
4 years ago
ad150e7018
Update results csv file rank/diff script and small validate script tweak for batch validation
4 years ago
d72ddafe56
Fix some checkpoint / model str regressions
4 years ago
ecdeb470f2
Cleanup real labels in validate.py, no need to track original, will do that via exteran script
4 years ago
ac18adb9c3
Remove debug print from RexNet
4 years ago
c53ec33ae0
Add synset/label indices for results generation. Add 'valid labels' to validation script to support imagenet-a/r label subsets properly.
4 years ago
ec4976fdba
Add EfficientNet-Lite0 weights trained with this code by @hal-314, 75.484 top-1
4 years ago
9ecd16bd7b
Add new seresnet50 (non-legacy) model weights, 80.274 top-1
4 years ago
4805dd1e79
Fix incorrect dataset name, add new datasets to results delta script
4 years ago
ea58e0bc16
Disable big models for MacOS test since they are starting to fail frequently.
4 years ago
7995295968
Merge branch 'logger' into features. Change 'logger' to '_logger'.
4 years ago
1998bd3180
Merge branch 'feature/AB/logger' of https://github.com/antoinebrl/pytorch-image-models into logger
4 years ago
6be878c22a
Update results README to include robustness and real labels tests. Include labels files used in results gen.
4 years ago
6c17d57a2c
Fix some attributions, add copyrights to some file docstrings
4 years ago
a69c0e04f0
Fix pool size in cspnet
4 years ago
14ef7a0dd6
Rename csp.py -> cspnet.py
4 years ago
ec37008432
Add pretrained weight links to CSPNet for cspdarknet53, cspresnext50
4 years ago
e93e571f7a
Add `adamp` and 'sgdp' optimizers.
...
Update requirements.txt
Update optim_factory.py
Add `adamp` optimizer
Update __init__.py
copy files of adamp & sgdp
Create adamp.py
Update __init__.py
Create sgdp.py
Update optim_factory.py
Update optim_factory.py
Update requirements.txt
Update adamp.py
Update sgdp.py
Update sgdp.py
Update adamp.py
4 years ago
0915beddad
Add autosquash workflow
4 years ago
08016e839d
Cleanup FeatureInfo getters, add TF models sourced Xception41/65/71 weights
4 years ago
7ba5a384d3
Add ReXNet w/ remapped weights, feature support
4 years ago
c9d54bc1c3
Add HRNet feature extraction, fix senet type, lower feature testing res to 96x96
4 years ago
2ac663f340
Add feature support to legacy senets, add 32x32 resnext models to exclude list for feature testing.
4 years ago
701dba303e
Again
4 years ago
648ba41b4b
Try again with the worfklow threads
4 years ago
52b6e72e86
Try defining num threads for github workflow tests explicity (2)
4 years ago
c146b54abc
Cleanup EfficientNet/MobileNetV3 feature extraction a bit, only two tap locations now, small mobilenetv3 models work
4 years ago
68fd8a267b
Merge branch 'master' into features
4 years ago
4e61c6a12d
Cleanup, refactoring of Feature extraction code, add tests, fix tests, non hook feature extraction working with torchscript
4 years ago
6eec3fb4a4
Move FeatureHooks into features.py, switch EfficientNet, MobileNetV3 to use build model helper
4 years ago
9eba134d79
More models supporting feature extraction, xception, gluon_xception, inception_v3, inception_v4, pnasnet, nasnet, dla. Fix DLA unused projection params.
4 years ago
298fba09ac
Back out some activation hacks trialing upcoming pytorch changes
5 years ago
3b9004bef9
Lots of changes to model creation helpers, close to finalizing feature extraction / interfaces
5 years ago
e2cc481310
Update CSP ResNets for cross expansion without activation. Fix VovNet IABN compatibility with fixed activation arg.
5 years ago
3b6cce4c95
Add initial impl of CrossStagePartial networks, yet to be trained, not quite the same as darknet cfgs.
5 years ago
3aebc2f06c
Switch DPN to use BnAct layer, train a new DPN 68b model with RA to 79.21
5 years ago
17f4dd2778
Merge branch 'michalwols-docs'
5 years ago
022130d229
Merge branch 'docs' of https://github.com/michalwols/pytorch-image-models into michalwols-docs
5 years ago
31cf1251c1
Update setup.py
...
Exclude results from possible packaging as it has .py now
5 years ago
0d5550c1e2
Merge pull request #183 from KushajveerSingh/results_diff
...
Add rank difference, and top-1/top-5 difference from ImageNet-1k validation for the 3 additional test sets
5 years ago
5699e8429f
set precision=2 in param_count
5 years ago
6526ccb4a7
set precision=3 in results
5 years ago
856f6181f7
add {rank,top1,top5}_diff in results
5 years ago
f122f0274b
Significant ResNet refactor:
...
* stage creation + make_layer moved to separate fn with more sensible dilation/output_stride calc
* drop path rate decay easy to impl with refactored block creation loops
* fix dilation + blur pool combo
5 years ago
2608918e8d
configure mkdocs based documentation
5 years ago
a66df5fb91
More model feature extraction support, start to deprecate senet.py, dilations added to regnet, add proper aligned xception
5 years ago
7729f40dca
Fix another bug, update all gluon resnet models to use new creation method (feature support)
5 years ago
d72ac0db25
Fix #173 , lr cycle default 0 vs 1. Fix #177 , mirror resnest weights for future stability.
5 years ago
d0113f9cdb
Fix a few issues that came up in tests
5 years ago
Ross Wightman